Browse Prior Art Database

Method for Recording and Reporting Travel Statistics between Waypoints

IP.com Disclosure Number: IPCOM000031702D
Original Publication Date: 2004-Oct-05
Included in the Prior Art Database: 2004-Oct-05
Document File: 2 page(s) / 34K

Publishing Venue

IBM

Abstract

Travel in the American society revolves around the automobile. The invention below discusses a method for recording and reporting travel statistics between waypoints.

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Method for Recording and Reporting Travel Statistics between Waypoints

There exist several software products that are able to map locations, either by address or global positioning system (GPS) coordinates. These same products often can generate routes between given waypoints. These routes can even be optimized based on particular criteria, such as fastest, easiest, or the most scenic.

The problem is that these optimal route calculation algorithms are dependent on the accuracy of the accumulated data. Often, this data does not account for particular traffic or weather situations, or even the differences between individual driving styles.

What is needed, then, is an improved system and method for recording and reporting actual route travel statistics between waypoints.

Many vehicles today are equiped with GPS systems and software programs that track the vehicle's current position on a graphical map. Vehicles also have various forms of data measurement and calculation utilities, such as odometers, speedometers, and even chronographs. Finally, WI-FI internet connections are ubiquitous, thus wirelessly linking vehicles to greater networks.

This invention puts forth a system that records GPS waypoints, such as the starting point and the ending point of a journey (perhaps defined by starting and stopping the car's engine). Statistics are collected about the journey, such as the beginning/ending timestamps and the distance traveled (and implicitly the average speed can be determined). Other data can be associated with this record, such as the weather or traffic conditions. At the end of the journey, the user might be prompted to save the journey to a locally or remotely stored database, and perhaps be given the option of making the journey available to others to view.

Further, the treatment of this data can provide considerably more accurate estimates for travel time between frequented waypoints. Users could potentially enter a pair of addresses, and perhaps some more particular criteria, such as the day of the week and the weather conditions. The user would then receive an average, a maximum, and a minimum amount of time they might expect to travel, based on historical data.

An example should further demonstrate this invention.

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